This index can be loaded from the Hugging Face Hub with txtai as shown below.
1from txtai import Embeddings
2
3# Load the index from the HF Hub
4embeddings = Embeddings()
5embeddings.load(provider="huggingface-hub", container="neuml/txtai-hfposts")
6
7# Search for posts discussing transformers
8embeddings.search("transformers")
Hugging Face Posts is an exploratory dataset to analyze what is being discussed on the
Hugging Face Posts platform.
An embeddings index generated by txtai is a fully encapsulated index format. It doesn't require a database server or dependencies outside of the Python install.
Read more about this model and how it was built in
this article.
